Quantum Machine Learning Symposium

The CDL, based at the Rotman School of Management at the University of Toronto, provides a science-based mentoring program catering to seed-stage, disruptive, and massively scalable technology startups, typically founded by scientists and engineers making the switch to industry. This is the second year CDL will have a stream specifically focused on Quantum Computing and Quantum Machine Learning companies (QML). More information about CDL and the quantum program can be found here:https://www.creativedestructionlab.com/quantum2018/

Creative Destruction Lab

The Creative Destruction Lab (CDL) is hosting a half-day symposium to discuss recent advances in Quantum Machine Learning, its near-term industry applications, and opportunities for commercialization with private financing as a technology startup. The symposium will include technical lectures by leading Quantum Machine Learning (QML) researchers Peter Wittek and Guillaume Verdon, an explanation of the CDL and its quantum program, as well as presentations by CDL alumni quantum ventures Xanadu, OTI Lumionics, and ProteinQure.
Agenda:
09:00 - 09:30 Registration and Coffee
09:30 - 09:45 Welcome and Introduction by Michele Mosca (IQC)
09:45 - 10:15 Quantum Machine Learning - Now and the Future by Peter Wittek (CDL)
10:15 - 10:45 Boltzmann Machines - Quantum Sampling for Unsupervised and Generative Learning by Guillaume Verdon (UW)
10:45 - 11:00 Coffee and snack break
11:00 - 11:30 The Creative Destruction Lab and the QML Program by Khalid Kurji (CDL)
11:30 - 11:50 Quantum Machine Learning Powered by Light by Maria Schuld (Xanadu)
11:50 - 12:10 Protein Design with Hybrid Algorithms by Mark Fingerhuth (ProteinQure)
12:10 - 12:30 Applications of Quantum Computing in Computational Chemistry by Scott Genin (OTI Lumionics)
12:30 - 13:30 Lunch and Networking
 
**Dietary Restrictions: If you have any dietary restrictions, please let us know ahead of time. Please contact us at quantum@creativedestructionlab.com

Institute for Quantum Computing (QNC, Room 0101)

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Quantum Machine Learning Symposium

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